一种基于充分形式上下文的增强算法

Wenbing Wu, S. Yang, Wenxiang Chen
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引用次数: 0

摘要

形式概念分析(FCA)是认知科学的有力工具之一。上下文诱导的概念格是FCA的核心数据结构。形式上下文表示对象和属性之间的关联关系。可见属性之间存在约束关系。由属性关系构成的属性层次不可避免地制约了语境的形成。在属性层次的基础上,研究了属性层次的性质,定义了充分形式上下文,给出了生成充分形式上下文的增强算法,并展示了其性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An augment algorithm based on sufficient formal context
Formal Concept Analysis(FCA) is one of the powerful tools for cognitive science. A concept lattice induced by a context is the core data structure of FCA. A formal context expresses the incidence relation between objects and attributes. It is obvious that the constraint relation between attributes exists. An attribute hierarchy constituted by the attribute relation inevitably restricts the formation of context. Based on an attribute hierarchy, studying the property of the attribute hierarchy, sufficient formal context is defined, the augment algorithm of generating sufficient context is given, and its performance is shown.
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